Non-Orthogonal Multiple Access for Massive Connectivity, 1st ed. 2020 SpringerBriefs in Computer Science Series

Langue : Anglais

Auteurs : Liu Yuanwei, Qin Zhijin, Ding Zhiguo

Couverture de l’ouvrage Non-Orthogonal Multiple Access for Massive Connectivity

Résumé
Sommaire
Biographie
Commentaire

This book discusses non-orthogonal multiple access (NOMA) and the various issues in NOMA networks, including capability, sustainability, and security. This book starts from the basics and key techniques of NOMA. Subsequently, the authors discuss three critical issues in NOMA networks, including compatibility, sustainability, and security. Particularly, the authors first demonstrate the applications of NOMA in different networks including MIMO-NOMA, NOMA in heterogeneous networks, and NOMA in cognitive radio networks to show the compatibility of NOMA with various networks. Then the wireless powered NOMA networks are presented to address the sustainability issues in NOMA networks to extend the network reliability and lifetime. The security enhanced NOMA networks are discussed for single antenna case and multiple antenna case, respectively. Finally, the most recent developments on artificial intelligence (AI) enabled NOMA networks are discussed and the research challenges on NOMA to support massive number of devices are identified.

Introduction.- Compatibility in NOMA.- Sustainability of NOMA.- Security in NOMA.- Artificial Intelligence (AI) enabled NOMA.- Open Issues and Challenges.- Conclusion.

Yuanwei Liu received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively, and the Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He was with the Department of Informatics, King's College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. He has been a Lecturer (Assistant Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since 2017. His research interests include 5G wireless networks, Internet of Things, machine learning, stochastic geometry, and matching theory. He received the Exemplary Reviewer Certificate of the IEEE Wireless Communication Letters in 2015 and the IEEE Transactions on Communications and the IEEE Transactions on Wireless Communications in 2016 and 2017. He has served as a TPC Member for many IEEE conferences, such as GLOBECOM and ICC. He currently serves as an Editorof the IEEE Transactions on Communications, the IEEE Communications Letters and the IEEE Access. He is also a guest editor for IEEE JSTSP special issue on “Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks”.

Zhijin Qin received the bachelor’s degrees from Beijing University of Posts and Telecommunications, Beijing, China, in 2012 and the Ph.D. degree from Queen Mary University of London (QMUL), London, U.K., in 2016. She joined QMUL as a Lecturer (Assistant Professor) in the School of Electronic Engineering and Computer Science since August 2018. Before that, she was with Lancaster University and Imperial College London as a Lecturer and Research Associate, respectively. Her research interests include low-power wide area networks for Internet of Things, compressive sensing and machine learning in wireless communications, and non-orthogonal multiple access. She currently serves as an Editor of the IEEEComm

Presents the NOMA enabled wireless networks to support massive connectivity Provides a framework for NOMA in the next generation of wireless communication systems Includes an overview of the AI-enabled NOMA networks to provide massive access opportunities with heterogeneous transmission requirements